Point cloud quality assessment: unifying projection, geometry, and texture similarity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-022-02454-w.pdf
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3. Hu, L., Xiao, J., Wang, Y.: An automatic 3d registration method for rock mass point clouds based on plane detection and polygon matching. Vis. Comput. 36(4), 669–681 (2020)
4. Chang, W.-C., Wu, C.-H.: Candidate-based matching of 3-d point clouds with axially switching pose estimation. Vis. Comput. 36(3), 593–607 (2020)
5. Peixoto, E.: Intra-frame compression of point cloud geometry using dyadic decomposition. IEEE Signal Process. Lett. 27, 246–250 (2020)
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3. Assessing the Quality of Photoplethysmograms via Gramian Angular Fields and Vision Transformer;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
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